{"id":"W2320678132","doi":"10.1115/detc2012-71288","title":"Analysis and Optimization of Automotive Structure’s Bending Stiffness Using Beam Elements","year":2012,"lang":"en","type":"article","venue":"","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Stiffness; Finite element method; Bending stiffness; Beam (structure); Structural engineering; Bending; Moment of inertia; Automotive industry; Parametric statistics; Process (computing); Bending moment; Inertia; Computer science; Engineering; Mechanical engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009080088,0.00006450833,0.0001173181,0.0002224589,0.00002865871,0.00001389093,0.00003901006,0.00003753519,0.0002519572],"category_scores_gemma":[0.00002941639,0.00005962399,0.00002325284,0.0003996457,0.000008573105,0.0001177566,0.00002190374,0.00005417869,2.839888e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002753128,"about_ca_system_score_gemma":0.000003712285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001202318,"about_ca_topic_score_gemma":0.000001777634,"domain_scores_codex":[0.9995183,0.000008860372,0.0001451064,0.00006091752,0.0001114367,0.0001554063],"domain_scores_gemma":[0.9997701,0.00002510428,0.00001396131,0.00008437187,0.00003529006,0.00007114418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[7.356604e-7,0.000005058789,0.0008694675,0.00002653091,0.0001578626,4.507808e-8,0.00006542531,0.9890366,0.008147233,0.0002054094,0.000001480718,0.001484162],"study_design_scores_gemma":[0.00006936208,0.000004128209,0.002127656,0.000003616495,0.00007680708,4.410385e-7,0.00003518356,0.9735719,0.02404268,0.000005380188,0.000002759541,0.00006006601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3493696,0.00002829508,0.6503056,9.407153e-7,0.00003908594,0.00003897595,0.000008111998,0.00004807895,0.0001613327],"genre_scores_gemma":[0.9524879,0.000005111106,0.0474443,0.000001343145,0.00002122573,0.000001360153,0.00001309125,0.000009769401,0.00001592135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6031183,"threshold_uncertainty_score":0.2758754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911883528466519,"score_gpt":0.2756581049274188,"score_spread":0.2565392696427536,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}